Harry Clifford

Harry is the product lead for genomics at NVIDIA, leveraging NVIDIA’s expertise in AI, high performance computing (HPC), and data analytics stacks to address genomics workflows with accelerated high-accuracy solutions. His background is in bioinformatics and functional genomics, including a PhD from the University of Oxford, post-doctoral experience in the biopharma industry and at the University of Cambridge, and entrepreneurial experience in the biotech sector. Harry was listed in Forbes’ 30 Under 30 after co-founding precision oncology company CCG.ai (acquired by Dante Labs), a Y Combinator and Merck Accelerator-backed start-up delivering decision support via deep learning and advanced analytical software.
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Posts by Harry Clifford

Genetic data
Data Science May 15, 2023

Accelerate Whole Exome Analysis with Deep Learning at 70% Cost Reduction Using NVIDIA Parabricks

The human exome is key to understanding and treating genetic disorders and disease. Although the exome consists of just over 1% of the human genome, it also... 9 MIN READ
DNA sequencing image
Data Science Mar 21, 2023

Long-Read Sequencing Workflows and Higher Throughputs in NVIDIA Parabricks 4.1

The upcoming 4.1 release of NVIDIA Parabricks, a suite of accelerated genomic analysis applications, goes further than ever before in accelerating sequencing... 6 MIN READ
Data Science Sep 21, 2022

Democratizing and Accelerating Genome Sequencing Analysis with NVIDIA Clara Parabricks v4.0

The field of computational biology relies on bioinformatics tools that are fast, accurate, and easy to use. As next-generation sequencing (NGS) is becoming... 8 MIN READ
Simulation / Modeling / Design Mar 22, 2022

Boosting Ultrarapid Nanopore Sequencing Analysis on NVIDIA DGX A100

Fast and cost-effective whole genome sequencing and analysis can bring answers quickly to critically ill patients suffering from rare or undiagnosed... 7 MIN READ